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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing
|
|---|---|
| Published in |
Frontiers in Nanotechnology, April 2022
|
| DOI | 10.3389/fnano.2022.851856 |
| Authors |
Jinqi Huang, Spyros Stathopoulos, Alexantrou Serb, Themis Prodromakis |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 21% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 32% |
| Physics and Astronomy | 2 | 11% |
| Materials Science | 2 | 11% |
| Neuroscience | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2023.
All research outputs
#7,904,428
of 25,392,582 outputs
Outputs from Frontiers in Nanotechnology
#46
of 296 outputs
Outputs of similar age
#152,632
of 445,322 outputs
Outputs of similar age from Frontiers in Nanotechnology
#2
of 25 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 296 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 445,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.